Re: Problem with combining all example set from IO Object Collection

one thing that make me curious, in my model that i build, all example set run same neural network model. The thing is every example set have their unique neural network model, right? can i run neural network model with different neuron size, training cycle, learning rate, momentum to each example set? how to do?

Re: Problem with combining all example set from IO Object Collection

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yeah i've tried it and i found the best ANN model for each example set but how to apllied it for each example set? if i put it on neural network operator, it only for one Neural Network Model but it means that this one model is applied to all example set right?

Re: Problem with combining all example set from IO Object Collection

@binsetyawan Since you are doing everything within Loop Attributes, each Attribute has its own model. Does that answer your question?

@mskinner I suppose that depends on your use case. Did you just replace the Join with the Union Operator? Since Union simply appends your ExampleSets, the number of examples in the final ExampleSet can drastically increase.